Pyth closed October at $13.67M ARR, up 18.9% in one month.
Annualized paid subscription run-rate increased from $11.49M in September to $13.67M in October, adding $2.17M in net new ARR.
Pyth Indices reached $2.88M in ARR across 21 clients, while the business reported 332 paying accounts.
Pyth Terminal also recorded 4,451 signups and account creations, up 37% month over month.
And the product expansion continued.
The Pyth Pro catalog grew to 3,927 symbols, with 114 new feed IDs first recorded in October.
Pyth Indices finished the month with 77 stable feeds and another 31 coming soon.
Among the additions were 14 U.S. Treasury-curve feeds across seven maturities, alongside new equity and ETF indices covering names such as AMD, Alibaba, SPY, QQQ, and EWZ.
Pyth also introduced corporate-action data for supported U.S. equities, bringing dividend and stock-split records into its market-data offering.
On the AI side, Pyth Pro MCP Server 1.1 improved feed discovery and historical data access for agents, while Exa continued early testing of Pyth for financial research workflows.
October brought more paying accounts, broader market coverage, and new ways for financial applications to consume Pyth data.
Explore the Pyth Terminal catalog: https://app.pyth.com/explore/all
#PYTH #trading
Annualized paid subscription run-rate increased from $11.49M in September to $13.67M in October, adding $2.17M in net new ARR.
Pyth Indices reached $2.88M in ARR across 21 clients, while the business reported 332 paying accounts.
Pyth Terminal also recorded 4,451 signups and account creations, up 37% month over month.
And the product expansion continued.
The Pyth Pro catalog grew to 3,927 symbols, with 114 new feed IDs first recorded in October.
Pyth Indices finished the month with 77 stable feeds and another 31 coming soon.
Among the additions were 14 U.S. Treasury-curve feeds across seven maturities, alongside new equity and ETF indices covering names such as AMD, Alibaba, SPY, QQQ, and EWZ.
Pyth also introduced corporate-action data for supported U.S. equities, bringing dividend and stock-split records into its market-data offering.
On the AI side, Pyth Pro MCP Server 1.1 improved feed discovery and historical data access for agents, while Exa continued early testing of Pyth for financial research workflows.
October brought more paying accounts, broader market coverage, and new ways for financial applications to consume Pyth data.
Explore the Pyth Terminal catalog: https://app.pyth.com/explore/all
#PYTH #trading
